annahdo / implementing_activation_steering
A collection of different ways to implement accessing and modifying internal model activations for LLMs
☆11Updated 3 weeks ago
Related projects ⓘ
Alternatives and complementary repositories for implementing_activation_steering
- Experiments with representation engineering☆10Updated 8 months ago
- Steering Llama 2 with Contrastive Activation Addition☆95Updated 5 months ago
- Open source replication of Anthropic's Crosscoders for Model Diffing☆13Updated 2 weeks ago
- Steering vectors for transformer language models in Pytorch / Huggingface☆64Updated last month
- ☆23Updated 6 months ago
- Keeping language models honest by directly eliciting knowledge encoded in their activations.☆186Updated last week
- Mechanistic Interpretability Visualizations using React☆196Updated 4 months ago
- LLM experiments done during SERI MATS - focusing on activation steering / interpreting activation spaces☆78Updated last year
- ☆105Updated this week
- ☆43Updated 4 months ago
- datasets from the paper "Towards Understanding Sycophancy in Language Models"☆62Updated last year
- A library for efficient patching and automatic circuit discovery.☆30Updated last month
- Tools for studying developmental interpretability in neural networks.☆75Updated last week
- ☆10Updated 4 months ago
- ☆66Updated last week
- ☆24Updated 7 months ago
- A dataset of alignment research and code to reproduce it☆69Updated last year
- Erasing concepts from neural representations with provable guarantees☆208Updated 3 weeks ago
- ☆102Updated last month
- ☆100Updated 3 months ago
- Create feature-centric and prompt-centric visualizations for sparse autoencoders (like those from Anthropic's published research).☆158Updated last month
- ☆108Updated last year
- ☆187Updated last month
- Code for the ICLR 2024 paper "How to catch an AI liar: Lie detection in black-box LLMs by asking unrelated questions"☆61Updated 4 months ago
- Utilities for the HuggingFace transformers library☆61Updated last year
- ☆239Updated 4 months ago
- Sparse Autoencoder Training Library☆26Updated 2 weeks ago
- Mechanistic Interpretability for Transformer Models☆49Updated 2 years ago
- PyTorch and NNsight implementation of AtP* (Kramar et al 2024, DeepMind)☆13Updated 6 months ago
- A puzzle to learn about prompting☆120Updated last year